1 //
2 // Copyright © 2017 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5
6 #include "RefDepthwiseConvolution2dWorkload.hpp"
7
8 #include "ConvImpl.hpp"
9 #include "RefWorkloadUtils.hpp"
10 #include "Decoders.hpp"
11 #include "Encoders.hpp"
12 #include "Profiling.hpp"
13 #include <ResolveType.hpp>
14
15 namespace armnn
16 {
17
RefDepthwiseConvolution2dWorkload(const DepthwiseConvolution2dQueueDescriptor & descriptor,const WorkloadInfo & info)18 RefDepthwiseConvolution2dWorkload::RefDepthwiseConvolution2dWorkload(
19 const DepthwiseConvolution2dQueueDescriptor& descriptor, const WorkloadInfo& info)
20 : BaseWorkload<DepthwiseConvolution2dQueueDescriptor>(descriptor, info)
21 {
22 m_Weight = std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Weight));
23 const TensorInfo& rFilterInfo = m_Weight->GetTensorInfo();
24 m_FilterShape = rFilterInfo.GetShape();
25 m_FilterDecoder = MakeDecoder<float>(rFilterInfo, m_Weight->Map(true));
26
27 if (descriptor.m_Parameters.m_BiasEnabled)
28 {
29 m_Bias = std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Bias));
30 const TensorInfo& biasInfo = m_Bias->GetTensorInfo();
31 m_BiasDecoder = MakeDecoder<float>(biasInfo, m_Bias->Map(true));
32 }
33 }
34
PostAllocationConfigure()35 void RefDepthwiseConvolution2dWorkload::PostAllocationConfigure()
36 {
37 const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]);
38 m_InputShape = inputInfo.GetShape();
39 m_InputDecoder = MakeDecoder<float>(inputInfo);
40
41 const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
42 m_OutputShape = outputInfo.GetShape();
43 m_OutputEncoder = MakeEncoder<float>(outputInfo);
44 }
45
Execute() const46 void RefDepthwiseConvolution2dWorkload::Execute() const
47 {
48 ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefDepthwiseConvolution2dWorkload_Execute");
49 std::unique_ptr<Decoder<float>> pBiasDecoder{};
50
51 m_InputDecoder->Reset(m_Data.m_Inputs[0]->Map());
52 m_OutputEncoder->Reset(m_Data.m_Outputs[0]->Map());
53
54 Convolve(m_InputShape, *m_InputDecoder, m_OutputShape, *m_OutputEncoder,
55 m_FilterShape, *m_FilterDecoder, m_Data.m_Parameters.m_BiasEnabled, m_BiasDecoder.get(),
56 m_Data.m_Parameters.m_DataLayout, m_Data.m_Parameters.m_PadTop, m_Data.m_Parameters.m_PadLeft,
57 m_Data.m_Parameters.m_StrideX, m_Data.m_Parameters.m_StrideY,
58 m_Data.m_Parameters.m_DilationX,
59 m_Data.m_Parameters.m_DilationY, true);
60 }
61
62 } //namespace armnn
63